| Hyderabad Jobs |
| Banglore Jobs |
| Chennai Jobs |
| Delhi Jobs |
| Ahmedabad Jobs |
| Mumbai Jobs |
| Pune Jobs |
| Vijayawada Jobs |
| Gurgaon Jobs |
| Noida Jobs |
| Hyderabad Jobs |
| Banglore Jobs |
| Chennai Jobs |
| Delhi Jobs |
| Ahmedabad Jobs |
| Mumbai Jobs |
| Pune Jobs |
| Vijayawada Jobs |
| Gurgaon Jobs |
| Noida Jobs |
| Oil & Gas Jobs |
| Banking Jobs |
| Construction Jobs |
| Top Management Jobs |
| IT - Software Jobs |
| Medical Healthcare Jobs |
| Purchase / Logistics Jobs |
| Sales |
| Ajax Jobs |
| Designing Jobs |
| ASP .NET Jobs |
| Java Jobs |
| MySQL Jobs |
| Sap hr Jobs |
| Software Testing Jobs |
| Html Jobs |
| Job Location | Ahmedabad |
| Education | Not Mentioned |
| Salary | Not Disclosed |
| Industry | ecruitment Services |
| Functional Area | Engineering Design / Construction |
| EmploymentType | Full-time |
Job Details : Experience with Spark, Kafka, Kinesis or similar Expertise with relational SQL and NoSQL databases, including MySQL, Postgres and Cassandra Familiarity with workflow management tools like Azkaban, Luigi, Airflow or similar Expertise in Python and C# 7+ years of relevant experience Bachelors in Computer Engineering or similar Excellent verbal and written communication skills Responsibilities Design, create and maintain optimal data pipeline components, Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS big data technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics. Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs. Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader. Work with data and analytics experts to strive for greater functionality in our data systems.